org.nd4j.linalg.api.ops.custom.Flatten Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.ops.custom;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.List;
/**
* This op takes arbitrary number of arrays as input, and returns single "flattened" vector
*
* @author [email protected]
*/
@Data
@NoArgsConstructor
public class Flatten extends DynamicCustomOp {
private int order;
public Flatten(char order, INDArray... inputs) {
this.order = order;
for (val in:inputs)
inputArguments.add(in);
iArguments.add(Long.valueOf((int) this.order));
}
public Flatten(INDArray output, INDArray... inputs) {
this(output.ordering(), inputs);
outputArguments.add(output);
}
public Flatten(SameDiff sameDiff, char order, SDVariable... inputs) {
super(sameDiff, inputs);
this.order = order;
addIArgument(order);
}
@Override
public String opName() {
return "flatten";
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
int n = args().length;
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
return Arrays.asList(inputDataTypes.get(0));
}
}